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Segmentation-Self-Driving-Cars

Task : Task was to perform semantic segmentation on camvid data.

Model Used : I used U-net kind of architecture to achieve the segmentation . The network is called Xception Unet which is computationally less expensive as compared to regular Unet model.

Scope for Improvement : 1. Reduce overfitting 2. Add Temporal consistency.